Search ga_ls8c_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm to (exclusive):

File format (GeoTiff, NetCDF):

GQA Circular error probable (90%) from:

GQA Circular error probable (90%) to (exclusive):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

A Landsat Collection 1 Level-1 product identifier including the Collection processing levels, processing date, collection number, and collection tier category (e.g. ‘LE07_L1TP_098084_20210307_20210308_02_RT’) :

A Landsat scene ID including WRS path and row, year and day, ground station identifier and archive version number (e.g. ‘LC80900852021066LGN00’) :

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider. For Landsat region_code is a scene path row: '{:03d}{:03d}.format(path,row)' For Sentinel it is MGRS code. In general it is a unique string identifier that datasets covering roughly the same spatial region share. :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2017-11-27 08:10:53	ga_ls8c_ard_3-2-1_079080_2017-11-26_final
2021-08-21 08:42:35	ga_ls8c_ard_3-2-1_084082_2021-08-20_final
2022-10-20 10:09:18	ga_ls8c_ard_3-2-1_099066_2022-10-20_final
2023-10-23 10:08:54	ga_ls8c_ard_3-2-1_099066_2023-10-23_final
2023-11-28 09:48:14	ga_ls8c_ard_3-2-1_095076_2023-11-28_final
2023-12-03 10:09:54	ga_ls8c_ard_3-2-1_098084_2023-12-03_final
2023-12-04 10:49:33	ga_ls8c_ard_3-2-1_105075_2023-12-04_final
2023-12-04 10:51:33	ga_ls8c_ard_3-2-1_105080_2023-12-04_final
2023-12-05 09:54:18	ga_ls8c_ard_3-2-1_096076_2023-12-05_final
2023-12-09 09:31:10	ga_ls8c_ard_3-2-1_092080_2023-12-09_final
2023-12-10 10:12:03	ga_ls8c_ard_3-2-1_099074_2023-12-10_final
2023-12-11 09:20:50	ga_ls8c_ard_3-2-1_090085_2023-12-10_final
2023-12-14 11:25:28	ga_ls8c_ard_3-2-1_111072_2023-12-14_final
2023-12-14 11:27:28	ga_ls8c_ard_3-2-1_111077_2023-12-14_final
2023-12-15 10:31:03	ga_ls8c_ard_3-2-1_102075_2023-12-15_final
2023-12-16 09:35:50	ga_ls8c_ard_3-2-1_093076_2023-12-16_final
2023-12-16 11:17:55	ga_ls8c_ard_3-2-1_109084_2023-12-16_final
2023-12-18 11:00:23	ga_ls8c_ard_3-2-1_107071_2023-12-18_final
2023-12-22 10:34:52	ga_ls8c_ard_3-2-1_103069_2023-12-22_final
2023-12-23 09:42:50	ga_ls8c_ard_3-2-1_094078_2023-12-23_final
2023-12-25 09:30:28	ga_ls8c_ard_3-2-1_092078_2023-12-25_final
2023-12-25 09:31:16	ga_ls8c_ard_3-2-1_092080_2023-12-25_final
2023-12-30 11:27:50	ga_ls8c_ard_3-2-1_111078_2023-12-30_final
2024-01-01 09:37:46	ga_ls8c_ard_3-2-1_093081_2024-01-01_final
2024-01-01 09:39:22	ga_ls8c_ard_3-2-1_093085_2024-01-01_final
2024-01-03 11:01:52	ga_ls8c_ard_3-2-1_107075_2024-01-03_final
2024-01-06 09:53:04	ga_ls8c_ard_3-2-1_096073_2024-01-06_final
2024-01-06 09:54:15	ga_ls8c_ard_3-2-1_096076_2024-01-06_final
2024-01-06 11:33:32	ga_ls8c_ard_3-2-1_112077_2024-01-06_final
2024-01-06 11:34:20	ga_ls8c_ard_3-2-1_112079_2024-01-06_final
2024-01-07 10:37:08	ga_ls8c_ard_3-2-1_103075_2024-01-07_final
2024-01-08 11:21:36	ga_ls8c_ard_3-2-1_110078_2024-01-08_final
2024-01-10 09:33:58	ga_ls8c_ard_3-2-1_092087_2024-01-10_final
2024-01-11 10:10:27	ga_ls8c_ard_3-2-1_099070_2024-01-11_final
2024-01-12 09:20:25	ga_ls8c_ard_3-2-1_090084_2024-01-11_final
2024-01-15 11:27:49	ga_ls8c_ard_3-2-1_111078_2024-01-15_final
2024-01-17 11:17:50	ga_ls8c_ard_3-2-1_109084_2024-01-17_final
2024-01-20 11:44:43	ga_ls8c_ard_3-2-1_114074_2024-01-20_final
2024-01-21 09:11:24	ga_ls8c_ard_3-2-1_089077_2024-01-20_final
2024-01-22 09:54:39	ga_ls8c_ard_3-2-1_096077_2024-01-22_final
2024-01-22 11:32:20	ga_ls8c_ard_3-2-1_112074_2024-01-22_final
2024-01-22 11:33:32	ga_ls8c_ard_3-2-1_112077_2024-01-22_final
2024-01-25 10:25:54	ga_ls8c_ard_3-2-1_101078_2024-01-25_final
2024-01-26 09:31:04	ga_ls8c_ard_3-2-1_092080_2024-01-26_final
2024-01-26 09:31:28	ga_ls8c_ard_3-2-1_092081_2024-01-26_final
2024-01-27 10:12:19	ga_ls8c_ard_3-2-1_099075_2024-01-27_final
2024-01-29 10:01:59	ga_ls8c_ard_3-2-1_097080_2024-01-29_final
2024-01-31 09:48:27	ga_ls8c_ard_3-2-1_095077_2024-01-31_final
2024-01-31 09:50:03	ga_ls8c_ard_3-2-1_095081_2024-01-31_final
2024-02-02 09:36:54	ga_ls8c_ard_3-2-1_093079_2024-02-02_final
2024-02-02 09:38:54	ga_ls8c_ard_3-2-1_093084_2024-02-02_final
2024-02-02 09:39:18	ga_ls8c_ard_3-2-1_093085_2024-02-02_final
2024-02-02 11:13:48	ga_ls8c_ard_3-2-1_109074_2024-02-02_final
2024-02-03 10:21:46	ga_ls8c_ard_3-2-1_100083_2024-02-03_final
2024-02-03 11:58:16	ga_ls8c_ard_3-2-1_116077_2024-02-03_final
2024-02-04 09:23:46	ga_ls8c_ard_3-2-1_091077_2024-02-03_final
2024-02-06 09:11:25	ga_ls8c_ard_3-2-1_089077_2024-02-05_final
2024-02-07 11:34:22	ga_ls8c_ard_3-2-1_112079_2024-02-07_final
2024-02-08 10:39:08	ga_ls8c_ard_3-2-1_103080_2024-02-08_final
2024-02-09 11:21:12	ga_ls8c_ard_3-2-1_110077_2024-02-09_final
2024-02-10 10:23:59	ga_ls8c_ard_3-2-1_101073_2024-02-10_final
2024-02-11 09:29:57	ga_ls8c_ard_3-2-1_092077_2024-02-10_final
2024-02-11 09:31:33	ga_ls8c_ard_3-2-1_092081_2024-02-11_final
2024-02-12 10:14:25	ga_ls8c_ard_3-2-1_099080_2024-02-12_final
2024-02-13 10:56:04	ga_ls8c_ard_3-2-1_106076_2024-02-13_final
2024-02-14 10:04:02	ga_ls8c_ard_3-2-1_097085_2024-02-14_final
2024-02-16 09:49:39	ga_ls8c_ard_3-2-1_095080_2024-02-16_final
2024-02-16 11:27:21	ga_ls8c_ard_3-2-1_111077_2024-02-16_final
2024-02-16 11:27:45	ga_ls8c_ard_3-2-1_111078_2024-02-16_final
2024-02-18 09:37:42	ga_ls8c_ard_3-2-1_093081_2024-02-18_final
2024-02-18 09:38:54	ga_ls8c_ard_3-2-1_093084_2024-02-18_final
2024-02-18 09:40:06	ga_ls8c_ard_3-2-1_093087_2024-02-18_final
2024-02-18 11:17:47	ga_ls8c_ard_3-2-1_109084_2024-02-18_final
2024-02-19 10:22:10	ga_ls8c_ard_3-2-1_100084_2024-02-19_final
2024-02-19 11:58:15	ga_ls8c_ard_3-2-1_116077_2024-02-19_final
2024-02-20 11:05:01	ga_ls8c_ard_3-2-1_107083_2024-02-20_final
2024-02-21 10:09:00	ga_ls8c_ard_3-2-1_098082_2024-02-21_final
2024-02-21 11:47:05	ga_ls8c_ard_3-2-1_114080_2024-02-21_final
2024-02-22 10:50:39	ga_ls8c_ard_3-2-1_105078_2024-02-22_final
2024-02-23 09:54:14	ga_ls8c_ard_3-2-1_096076_2024-02-23_final
2024-02-23 09:54:38	ga_ls8c_ard_3-2-1_096077_2024-02-23_final
2024-02-23 09:56:13	ga_ls8c_ard_3-2-1_096081_2024-02-23_final
2024-02-23 11:32:43	ga_ls8c_ard_3-2-1_112075_2024-02-23_final
2024-02-24 10:37:05	ga_ls8c_ard_3-2-1_103075_2024-02-24_final
2024-02-25 09:42:39	ga_ls8c_ard_3-2-1_094078_2024-02-25_final
2024-02-25 11:19:32	ga_ls8c_ard_3-2-1_110073_2024-02-25_final
2024-02-27 09:31:28	ga_ls8c_ard_3-2-1_092081_2024-02-27_final
2024-02-27 11:08:21	ga_ls8c_ard_3-2-1_108076_2024-02-27_final
2024-02-29 09:20:17	ga_ls8c_ard_3-2-1_090084_2024-02-28_final
2024-02-29 10:54:22	ga_ls8c_ard_3-2-1_106072_2024-02-29_final
2024-02-29 10:58:22	ga_ls8c_ard_3-2-1_106082_2024-02-29_final
2024-03-01 09:59:56	ga_ls8c_ard_3-2-1_097075_2024-03-01_final
2024-03-03 09:49:08	ga_ls8c_ard_3-2-1_095079_2024-03-03_final
2024-03-03 11:24:02	ga_ls8c_ard_3-2-1_111069_2024-03-03_final
2024-03-03 11:26:49	ga_ls8c_ard_3-2-1_111076_2024-03-03_final
2024-03-04 10:29:11	ga_ls8c_ard_3-2-1_102071_2024-03-04_final
2024-03-06 10:17:59	ga_ls8c_ard_3-2-1_100074_2024-03-06_final
2024-03-06 10:20:46	ga_ls8c_ard_3-2-1_100081_2024-03-06_final
2024-03-10 09:53:38	ga_ls8c_ard_3-2-1_096075_2024-03-10_final
2024-03-10 11:33:19	ga_ls8c_ard_3-2-1_112077_2024-03-10_final

Return to ga_ls8c_ard_3 whole collection overview

ga_ls8c_ard_3: Geoscience Australia Landsat 8 Operational Land Imager and Thermal Infra-Red Scanner Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years